MCP

Communauté Productivité

Check an email before an AI agent sends it: returns send, ask-a-human or block, with machine reason codes and prompt-injection detection.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Qorami MCP server
  2. Run
  3. Register in Claude Desktop
  4. The contract
  5. Credits

Qorami MCP server

Exposes Qorami as native Model Context Protocol tools, so any MCP client (Claude Desktop, IDEs, agent frameworks) can check email before sending. Tools:

  • qorami_health — verify the server is wired up (API reachable, key valid, credits left). Never spends a credit; run it first.
  • verify_email — get the decision (send / request_human_confirmation / do_not_send) + suggestions.
  • check_action_status — poll a pending action until a human approves/blocks.

Run

Quickest — no clone, no install (published on npm):

QORAMI_API_KEY=qrm_ws_... npx qorami-mcp

Or from a local checkout:

npm install            # installs the pinned deps from package.json
QORAMI_API_KEY=qrm_ws_... node qorami-mcp.mjs

Or with Docker:

docker build -t qorami-mcp .
docker run -i -e QORAMI_API_KEY=qrm_ws_... qorami-mcp

The server starts even without a key so clients can list the tools; a key is only needed to actually call them. Tested against @modelcontextprotocol/sdk 1.29.x (Node 18+). Get an API key in the dashboard.

Register in Claude Desktop

Add to claude_desktop_config.json (Settings → Developer → Edit Config):

{
  "mcpServers": {
    "qorami": {
      "command": "npx",
      "args": ["-y", "qorami-mcp"],
      "env": { "QORAMI_API_KEY": "qrm_ws_..." }
    }
  }
}

Restart Claude Desktop; the Qorami tools appear. Any MCP-compatible client (Cursor, Windsurf, custom agents) registers it the same way — same npx qorami-mcp command over stdio.

First test: ask the client to run qorami_health. It confirms the API is reachable and your key works without spending a credit, and returns your remaining balance. Then tell the agent to call verify_email before it sends any email. Full walkthrough: https://qorami.fr/mcp.

The contract

The agent must obey verify_email's nextAction.type:

nextAction.typeWhat the agent doesRuns unattended?
sendSend the email.✅ yes
do_not_sendDon't send. Optionally apply suggestions and re-verify.✅ yes
request_human_confirmationPause. Poll check_action_status with the actionId until it flips to send or do_not_send.⏸ a human approves in the dashboard

So an agent is fully autonomous on send / do_not_send; the one path that waits for a person is request_human_confirmation — the human-in-the-loop on risky email is the whole point. A verify-scoped key (recommended for agents) cannot approve a held email itself, so it can't bypass its own review step.

Credits

Each verification costs 1 credit (a blocked email costs 0); verify_email returns creditsRemaining. At zero credits the call fails — a careful agent then treats the email as "cannot send" rather than sending blind. To keep an agent running without anyone topping up by hand, enable auto-recharge in the dashboard (save a card + a threshold). Billing is the workspace owner's job; the agent's key only spends.

Full API (rate limits, idempotency, errors): https://qorami.fr/docs.

Questions fréquentes

Qu'est-ce que MCP ?

Check an email before an AI agent sends it: returns send, ask-a-human or block, with machine reason codes and prompt-injection detection.

Comment installer MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient MCP ?

Il est publié par loicfontaine-max. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.